Berk EkiciSeckin KutucuI. Sevil SariyildizM. Fatih Tasgetiren2025-10-062015978147997492410.1109/CEC.2015.7257163https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963568077&doi=10.1109%2FCEC.2015.7257163&partnerID=40&md5=b754b58cca15d50cff2249c14e6dccb0https://gcris.yasar.edu.tr/handle/123456789/9876This paper aims to examine the application of evolutionary algorithms to the form finding problem of high-rise buildings. In the light of mentioned purpose this study concentrates on the conceptual phase of the design process due to the importance of early design decisions. In this respect multiobjective real-parameter constrained optimization is considered as the method of this study in order to solve high-rise design problem. From the point of evolutionary computation we compare two evolutionary algorithms (NSGA-II and DE) focusing on their computational performance and architectural features of the resulting alternatives. Two objective functions are formulated that specifically focus on structural displacement minimization and construction cost per square meter minimization which are clearly conflicting. As a conclusion we discuss in the context of the high-rise design problem the solutions identified by the NSGA-II and DE algorithms. © 2017 Elsevier B.V. All rights reserved.EnglishEvolutionary Algorithms, Form Finding, High-rise Building, Multi-objective Optimization, Algorithms, Calculations, Constrained Optimization, Design, Multiobjective Optimization, Optimization, Tall Buildings, Architectural Features, Computational Performance, Construction Costs, Early Design Decisions, Form Finding, High Rise Building, Objective Functions, Structural Displacement, Evolutionary AlgorithmsAlgorithms, Calculations, Constrained optimization, Design, Multiobjective optimization, Optimization, Tall buildings, Architectural features, Computational performance, Construction costs, Early design decisions, Form finding, High rise building, Objective functions, Structural displacement, Evolutionary algorithmsConference Object